# Senior Data Scientist

**Company**: GDIT
**Location**: Various CONUS SITES
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $111,155 - $150,385
**Category**: Data Science
**Industry**: Technology

**Apply**: https://gdit.wd5.myworkdayjobs.com/en-US/External_Career_Site/job/USA-FL-Hurlburt-Field---229-Cody-Ave-FLC017/Senior-Data-Scientist_RQ230488?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ac048965-b97

## Description

We are GDIT, a global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. We ensure today is safe and tomorrow is smarter.

The Senior Data Scientist performs the full range of Data Scientist responsibilities with greater independence, depth, and breadth, and serves as a technical lead for analyses of enterprise significance. The Senior Data Scientist leads complex analytical projects, reviews the methods and results of Data Scientists, instructs others in data science practices and tools, and represents the data science team in technical discussions with Government leadership, researchers, and clinicians.

**Responsibilities:**

- Perform all responsibilities of the Data Scientist labor category.

- Lead analytical projects of enterprise scope, including analyses that support Government-directed evaluations of program efficacy, Return on Investment (ROI), and preventative risk factors.

- Review the analytical design, code, and results of Data Scientists for methodological soundness before delivery to the Government.

- Instruct and mentor Data Scientists and other contract personnel in data science practices, tools, and the Government-furnished technology stack.

- Develop and maintain analytical standards, business rules, model assumptions, validation procedures, and reproducible methodologies for the data science team, in coordination with the Data Science Advisor.

- Design, develop, and automate enterprise dashboards, executive scorecards, Key Performance Indicators (KPIs), Measures of Performance (MOPs), and Measures of Effectiveness (MOEs) as requested by the Government.

- Advise Government personnel on the appropriate use, limitations, and interpretation of analytical products and models.

**Requirements:**

- Bachelor’s degree in a quantitative discipline, including but not limited to statistics, biostatistics, mathematics, applied mathematics, data science, operations research, computer science, engineering, physics, economics or econometrics, epidemiology, geospatial science or geoinformatics, or psychology or another behavioral science with a quantitative-methods concentration.

- Minimum of five (5) years of professional experience applying data science or statistical methods to real-world problems.

- Advanced proficiency in Python or R, with disciplined software practices (modular code, testing, version control), and in SQL.

- Demonstrated experience developing, validating, and delivering statistical or predictive models that informed organizational decisions.

- Demonstrated experience leading analytical projects and reviewing or mentoring the work of other analysts.

**Preferred Qualifications:**

- Master’s degree in one of the disciplines listed above.

- Experience with Databricks and Apache Spark (PySpark) or a comparable distributed processing system, and with NLP and LLM use cases.

- Familiarity with the Microsoft Power Platform (Power Apps and Power Automate) and with Palantir Foundry.

- Experience with human performance, sports science, health, clinical, or biomedical data.

- A history of peer-reviewed publications or conference presentations.

**Benefits:**

- 401K with company match

- Comprehensive health and wellness packages

- Internal mobility team dedicated to helping you own your career

- Professional growth opportunities including paid education and certifications

- Cutting-edge technology you can learn from

- Rest and recharge with paid vacation and holidays

## Skills

### Required
- Python
- R
- SQL
- Predictive Modeling
- Quantitative Analysis
- Statistical Methods

### Nice to have
- Databricks
- Apache Spark
- PySpark
- NLP
- LLM
- Microsoft Power Platform
- Palantir Foundry

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